53 citations as recorded by crossref.

1. Inter-model comparison of global hydroxyl radical (OH) distributions and their impact on atmospheric methane over the 2000–2016 period Y. Zhao et al. https://doi.org/10.5194/acp-19-13701-2019
2. Use of variable ozone in a radiative transfer model for the global Météo‐France 4D‐Var system O. Coopmann et al. https://doi.org/10.1002/qj.3869
3. Near-Surface Ozone Variations in East Asia during Boreal Summer J. Wie et al. https://doi.org/10.3390/atmos11020206
4. The impact of biomass burning on upper tropospheric carbon monoxide: a study using MOCAGE global model and IAGOS airborne data M. Cussac et al. https://doi.org/10.5194/acp-20-9393-2020
5. Signal‐To‐Noise Calculations of Emergence and De‐Emergence of Stratospheric Ozone Depletion F. Robertson et al. https://doi.org/10.1029/2023GL104246
6. A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation D. Akritidis et al. https://doi.org/10.5194/acp-18-15515-2018
7. Primary aerosol and secondary inorganic aerosol budget over the Mediterranean Basin during 2012 and 2013 J. Guth et al. https://doi.org/10.5194/acp-18-4911-2018
8. Modelling the volcanic ash plume from Eyjafjallajökull eruption (May 2010) over Europe: evaluation of the benefit of source term improvements and of the assimilation of aerosol measurements M. Plu et al. https://doi.org/10.5194/nhess-21-3731-2021
9. Assimilation of volcanic sulfur dioxide products from IASI and TROPOMI into the chemical transport model MOCAGE: case study of the 2021 La Soufrière Saint Vincent eruption with the March 2022 version of MOCAGE M. Bacles et al. https://doi.org/10.5194/amt-18-2659-2025
10. The influence of vegetation drought stress on formaldehyde and ozone distributions over a central European city H. Trimmel et al. https://doi.org/10.1016/j.atmosenv.2023.119768
11. Intercontinental transport of biomass burning pollutants over the Mediterranean Basin during the summer 2014 ChArMEx-GLAM airborne campaign V. Brocchi et al. https://doi.org/10.5194/acp-18-6887-2018
12. Regional evaluation of the performance of the global CAMS chemical modeling system over the United States (IFS cycle 47r1) J. Williams et al. https://doi.org/10.5194/gmd-15-4657-2022
13. Real-time probabilistic assessment of volcanic hazard for tephra dispersal and fallout at Mt. Etna: the 2021 lava fountain episodes F. Pardini et al. https://doi.org/10.1007/s00445-022-01614-z
14. Technical note: sensitivity of the CAMS regional air quality modelling system to anthropogenic emission temporal variability M. Guevara et al. https://doi.org/10.5194/acp-25-13245-2025
15. Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. https://doi.org/10.5194/gmd-16-509-2023
16. Assessment of CNRM coupled ocean-atmosphere model sensitivity to the representation of aerosols L. Watson et al. https://doi.org/10.1007/s00382-017-4054-6
17. Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI) O. Morgenstern et al. https://doi.org/10.5194/gmd-10-639-2017
18. Cloud impacts on photochemistry: building a climatology of photolysis rates from the Atmospheric Tomography mission S. Hall et al. https://doi.org/10.5194/acp-18-16809-2018
19. Large-scale tropospheric transport in the Chemistry–Climate Model Initiative (CCMI) simulations C. Orbe et al. https://doi.org/10.5194/acp-18-7217-2018
20. Impact of SO2 Flux Estimation in the Modeling of the Plume of Mount Etna Christmas 2018 Eruption and Comparison against Multiple Satellite Sensors C. Lamotte et al. https://doi.org/10.3390/rs15030758
21. Stratospheric impact of the anomalous 2023 Canadian wildfires: the two vertical pathways of smoke S. Khaykin et al. https://doi.org/10.5194/acp-25-14551-2025
22. A Pre-Operational System Based on the Assimilation of MODIS Aerosol Optical Depth in the MOCAGE Chemical Transport Model L. El Amraoui et al. https://doi.org/10.3390/rs14081949
23. Description and Evaluation of the specified-dynamics experiment in the Chemistry-Climate Model Initiative C. Orbe et al. https://doi.org/10.5194/acp-20-3809-2020
24. Evaluation of modelled climatologies of O3, CO, water vapour and NOy in the upper troposphere–lower stratosphere using regular in situ observations by passenger aircraft Y. Cohen et al. https://doi.org/10.5194/acp-23-14973-2023
25. Evaluation of O3, H2O, CO, and NOy climatologies simulated by four global models in the upper troposphere–lower stratosphere with IAGOS measurements Y. Cohen et al. https://doi.org/10.5194/acp-25-5793-2025
26. Clear-sky ultraviolet radiation modelling using output from the Chemistry Climate Model Initiative K. Lamy et al. https://doi.org/10.5194/acp-19-10087-2019
27. Surface ozone interannual variability, trends, and extremes in CCMI models L. Zhang & Y. Cui https://doi.org/10.1016/j.atmosenv.2021.118841
28. Monitoring aerosols over Europe: an assessment of the potential benefit of assimilating the VIS04 measurements from the future MTG/FCI geostationary imager M. Descheemaecker et al. https://doi.org/10.5194/amt-12-1251-2019
29. Added Value of Aerosol Observations of a Future AOS High Spectral Resolution Lidar with Respect to Classic Backscatter Spaceborne Lidar Measurements F. Cornut et al. https://doi.org/10.3390/rs15020506
30. Vertical distribution of type-discriminated aerosol concentration from a three-wavelength backscatter spaceborne lidar F. Qayyum et al. https://doi.org/10.1016/j.rse.2026.115399
31. Current state of the global operational aerosol multi‐model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP) P. Xian et al. https://doi.org/10.1002/qj.3497
32. A complex aerosol transport event over Europe during the 2017 Storm Ophelia in CAMS forecast systems: analysis and evaluation D. Akritidis et al. https://doi.org/10.5194/acp-20-13557-2020
33. Formaldehyde in the Tropical Western Pacific: Chemical Sources and Sinks, Convective Transport, and Representation in CAM‐Chem and the CCMI Models D. Anderson et al. https://doi.org/10.1002/2016JD026121
34. Copernicus Atmosphere Monitoring Service – Regional Air Quality Production System v1.0 A. Colette et al. https://doi.org/10.5194/gmd-18-6835-2025
35. Comparison of tropospheric NO2 columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. https://doi.org/10.5194/acp-20-2795-2020
36. Impact of mixing state on aerosol optical properties during severe wildfires over the Euro-Mediterranean region M. Majdi et al. https://doi.org/10.1016/j.atmosenv.2019.117042
37. Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: aerosol optical depth B. Sič et al. https://doi.org/10.5194/amt-9-5535-2016
38. Assessment of the contribution of the Meteosat Third Generation Infrared Sounder (MTG-IRS) for the characterisation of ozone over Europe F. Vittorioso et al. https://doi.org/10.5194/amt-17-5279-2024
39. Halogen chemistry in volcanic plumes: a 1D framework based on MOCAGE 1D (version R1.18.1) preparing 3D global chemistry modelling V. Marécal et al. https://doi.org/10.5194/gmd-16-2873-2023
40. Modeling study of the impact of SO2 volcanic passive emissions on the tropospheric sulfur budget C. Lamotte et al. https://doi.org/10.5194/acp-21-11379-2021
41. An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions M. Plu et al. https://doi.org/10.5194/nhess-21-2973-2021
42. A regional modelling study of halogen chemistry within a volcanic plume of Mt Etna's Christmas 2018 eruption H. Narivelo et al. https://doi.org/10.5194/acp-23-10533-2023
43. The development of the Atmospheric Measurements by Ultra-Light Spectrometer (AMULSE) greenhouse gas profiling system and application for satellite retrieval validation L. Joly et al. https://doi.org/10.5194/amt-13-3099-2020
44. Time-Dependent Downscaling of PM2.5 Predictions from CAMS Air Quality Models to Urban Monitoring Sites in Budapest A. Varga-Balogh et al. https://doi.org/10.3390/atmos11060669
45. Interpol-IAGOS: a new method for assessing long-term chemistry–climate simulations in the UTLS based on IAGOS data, and its application to the MOCAGE CCMI REF-C1SD simulation Y. Cohen et al. https://doi.org/10.5194/gmd-14-2659-2021
46. Preparation for assimilation of Meteosat Third Generation infrared sounder radiances into an atmospheric composition model for ozone and carbon monoxide forecasts O. Coopmann et al. https://doi.org/10.1002/qj.70130
47. Influence of atmospheric in-cloud aqueous-phase chemistry on the global simulation of SO2 in CESM2 W. Ge et al. https://doi.org/10.5194/acp-21-16093-2021
48. Evaluation of stratospheric transport in three generations of Chemistry-Climate Models M. Abalos et al. https://doi.org/10.5194/acp-26-5249-2026
49. A machine learning examination of hydroxyl radical differences among model simulations for CCMI-1 J. Nicely et al. https://doi.org/10.5194/acp-20-1341-2020
50. Technical note: Improving the European air quality forecast of the Copernicus Atmosphere Monitoring Service using machine learning techniques J. Bertrand et al. https://doi.org/10.5194/acp-23-5317-2023
51. Aerosols in the Mixed Layer and Mid-Troposphere from Long-Term Data of the Italian Automated Lidar-Ceilometer Network (ALICENET) and Comparison with the ERA5 and CAMS Models A. Bellini et al. https://doi.org/10.3390/rs17030372
52. Enhancing air quality forecasts by geomatic downscaling: an application to daily PM10 concentrations in France D. Joly et al. https://doi.org/10.1007/s00704-020-03418-7
53. A volcanic-hazard demonstration exercise to assess and mitigate the impacts of volcanic ash clouds on civil and military aviation M. Hirtl et al. https://doi.org/10.5194/nhess-20-1719-2020